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Willard Hucks

Principal Engineer · Enterprise Systems Engineering

McMinnville, Oregon · 127.0.0.1@willardhucks.com · github.com/trydydd

Summary

Principal engineer with 14 years across infrastructure, DevOps, and platform architecture, now leading applied AI at enterprise scale: local LLM inference (vLLM), agentic and MCP-based systems, governed RAG, and AI cost optimization. Sets direction for model selection, evaluation, and responsible AI consumption while staying hands-on; track record of architecting provider-agnostic platforms and multiplying the teams around them.

Selected Impact

  • Designed MCP-based developer tooling that cut code analysis costs ~70% by feeding models precise, governed context instead of bulk source.
  • Architected a schema-as-guardrails platform that lets citizen developers generate code safely to company specification, enforcing secure tool and data access through approved containers and reusable patterns instead of one-off solutions.

Experience

Principal Engineer, Enterprise Systems Engineering · Nike, Inc.

Nov 2021 – Present · Beaverton, OR

  • Set enterprise direction for applied AI practices: model selection, retrieval strategy, evaluation and experimentation, MLOps, and responsible AI and model governance for production use.
  • Architected a schema-as-guardrails platform that lets citizen developers generate code to company specification safely, enforcing secure tool and data access through approved containers, platforms, and reusable patterns rather than one-off solutions.
  • Designed MCP-based developer tooling (a symbol-index server) that reduced code analysis costs by ~70% by feeding models precise, governed context instead of bulk source.
  • Maintained and operated internally-hosted LLM inference infrastructure (vLLM) at enterprise scale, serving internal chat and code-generation workloads.
  • Built the framework for enterprise Microsoft Copilot adoption, including Copilot Cowork and Copilot Studio.
  • Multiplied teams through architecture reviews, reusable patterns, and mentorship across engineering organizations.

Senior Engineering Manager · Nike, Inc.

Mar 2018 – Nov 2021 · Beaverton, OR

  • Led the Release Engineering Core team (6 developers, systems engineers, and architects) and its Agile process; owned the global retail release platform.
  • Spearheaded quality efforts for high-demand ("high-heat") sneaker releases; founded an internal engineer training initiative to grow team capability.

Lead DevOps Engineer · Nike, Inc.

Apr 2017 – Mar 2018 · Beaverton, OR

  • Architected a containerized, cloud-provider-agnostic global release management platform (Azure, AWS, and datacenter deployments) and handed it off cleanly to the owning team.
  • Designed a global package distribution system that cut deployment time from 9 days to 1 hour, removing an infrastructure bottleneck and raising release velocity.

DevOps Engineer · Nike, Inc.

Aug 2015 – Apr 2017 · Beaverton, OR

  • Designed a global retail testing methodology (Ansible + Nutanix) that reduced lab creation from 1 week to 1 hour and release testing from two weeks to under one business day.
  • Used infrastructure-as-code to guarantee test-environment integrity; helped other teams automate daily work with Ansible and Python.

Service Virtualization Engineer · Nike, Inc.

Jan 2015 – Aug 2015 · Beaverton, OR

  • Built company-wide CA Service Virtualization training and processes, eliminating ~$1M/month in infrastructure spend.

Systems Administrator · Performance Health Technology

Mar 2014 – Jan 2015 · Salem, OR

  • Maintained the company datacenter (Nutanix Acropolis, Meraki networking, Nagios) and mentored junior administrators and developers.

Helpdesk Manager · Allegheny Technologies Incorporated

Oct 2012 – Mar 2014 · Albany, OR

  • Supported 2,000+ end users across 5 remote sites; built and deployed systems; mentored technicians and interns.

Armory Chief · United States Marine Corps

Jan 2009 – Oct 2012 · Jacksonville, NC

  • Accountable for $19M in weaponry and electronics; developed and delivered training to 40,000+ Marines; mentored 15 junior Marines into leadership roles.

Projects

Synaptic Drift: governed context retrieval for LLM agents

open source · in active development

github.com/trydydd/synaptic-drift

  • Retrieval-augmented generation (RAG) system serving verifiable, governed context to agents over MCP with schema-enforced tool contracts; ~80% token reduction on documentation/context retrieval in testing to date.
  • Validated by end-to-end task success: building working functionality against live, unseen library docs using a 9B model, so retrieval quality couldn't be masked by model capability. Sub-21ms P95; cryptographic content verification and lifecycle governance.

Vamp: schema-as-guardrails platform for citizen developers

personal · in active development

  • Lets citizen developers write and ship code to company specification safely, enforcing secure tool and data access through schema-defined guardrails instead of manual review.

Community

Cofounder

Oak Swale Acres

2018 – Present

instagram.com/oakswaleacres

  • Family farm investing in community food security; raise livestock and donate 300–400 lbs of meat annually to local food pantries and individuals in need.

Founder

Slime Mold Grappling Club

2023 – Present

slimemoldgrappling.com

  • Publish free, structured submission-grappling curriculum and coaching resources; donate equipment and consultation to clubs that don't charge dues.

Skills

Applied AI

  • Large language models (LLMs)
  • Agentic and multi-agent systems
  • Model Context Protocol (MCP)
  • Retrieval-augmented generation (RAG)
  • LLM inference serving (vLLM)
  • Model evaluation & experimentation
  • Prompt & guardrail design
  • Cost optimization & inference efficiency
  • Responsible AI & model governance
  • MLOps
  • Model pretraining

Architecture and Leadership

  • Enterprise AI architecture
  • Platform architecture
  • Build-vs-buy analysis
  • Technical direction & standards
  • Mentorship
  • Cross-functional collaboration
  • Risk management
  • Agile

Languages

  • Python
  • Bash
  • PowerShell

Platforms and Infra

  • Azure
  • AWS
  • Docker
  • Kubernetes
  • Datacenter
  • Nutanix
  • Ansible
  • Jenkins
  • Git/BitBucket
  • CI/CD
  • Infrastructure-as-Code

Education & Honors

  • B.A., Thomas Edison State University (2024)
  • A.S., University of South Carolina (2006–2008)
  • Navy and Marine Corps Achievement Medal